Equivalent Data Information of Sensory and Motor Signals in the Human Body

Abstract

In this paper, the amount of information collected by sensory and motor organs is analyzed. Humans use their senses to recognize the information around them and to perform appropriate actions. To perform these processes, information is exchanged between organs via analog electrical signals. Analog electrical signals convey information transmitted from human sensory organs to the cerebrum or commands sent from the cerebrum to the appropriate motor organs. This paper analyzes the amount of analog signal information generated inside the human body and converts this information into equivalent digital data. This process is carried out in an effort to build a human-like humanoid based on the equivalent digital data. The analog information generated in the human body is investigated based on the medical publications to date. These analyses result in the bit rate and delay requirements of nervous systems that are built with digital networks. It is shown in this paper that both artificial eyes equivalently generate approximately 14 Gigabits from a one-time look when a humanoid performs at a human-like level. In addition, it is realized that the human body is more sensitive to pressure than to temperature since the pressure sensation generates, on average, more information than the temperature sensation.

Keywords

• Humanoid
• in-robot network
• sense
• perception
• motor
• bit rates